In order to get a deep understanding of the impact climate change has had on the human species we drew five distinct values from our data sets. These five values will point out the most frequent climate related hazard and the most frequent climate related health issue both with a direct affiliation to human health. Then we will note the population most vulnerable to climate related health issues and the population most frequently vulnerable to climate hazards, these values inform us on who is dealing with the harshest outcomes of climate change. And lastly, we draw out the nation with the highest number of climate related disasters to pin point the nation most at risk as shown by data.
This question was also an important for us to answer in order to better understand who is most at risk for climate hazards. The answer we pulled from this set of code was also sadly predictable. It was not to our surprise that Low-income households are vulnerable to climate based hazards and just further reiterates how harmful climate change is to people alredy struggling.
| Country | Number of climate related disasters recorded in nation | Main climate related health issue in nation | Main climate related environmental hazard in nation |
|---|---|---|---|
| United States | 889 | Heat-related illnesses | Extreme heat |
| India | 520 | Air-pollution related illnesses, Disruption to health service provision, Heat-related illnesses, Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis) | Extreme heat |
| Philippines | 471 | Heat-related illnesses | Drought, Storm, Urban flooding |
| Indonesia | 321 | Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis) | Extreme wind |
| Vietnam | 228 | Direct physical injuries and deaths due to extreme weather events, Disruption of health-related services (e.g. roads, electricity, communications, emergency/ambulatory response, laboratories, pharmacies), Exacerbation of Non-Communicable Disease Symptoms (e.g. respiratory disease, cardiovascular disease, renal disease), Food & Nutrition Security, Heat-related illnesses, Mental health impacts, Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis), Water-borne and food-borne infectious diseases (e.g. diarrhoeal diseases and wound infections) | Mass movement, Storm |
| Mexico | 207 | Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis) | Drought |
| Australia | 199 | Mental health impacts | Extreme heat, Fire weather (risk of wildfires) |
| Brazil | 187 | Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis) | Drought |
| France | 169 | Air-pollution related illnesses | Extreme heat, Heavy precipitation |
| Thailand | 142 | Vector-borne infectious diseases (e.g. malaria, dengue, Lyme disease, tick-borne encephalitis) | Drought, River flooding, Soil degradation/erosion, Urban flooding |
This table gathers some of the most important features of the data files we are using in our project. Taking a look at the data table, we can understand how parts of our data are structured, along with several important observations. One observation is that out of the nations listed in the dataset, the United States has experienced the highest number of climate-related disasters at 889 disasters. Another important observation that can be gathered from the table is the main climate-related health issue impacting each nation, for example, the main climate-related health issue impacting the United States is heat-related illnesses. Finally, from the table, we can also gather the main climate-related hazards that are impacting each nation, with the main hazard for the United States being extreme heat.
We used the csv “2022 Cities Climate Hazards” to find what type of climate change related hazards occurred throughout the world. We shortened the table to have two columns about the types of hazards and frequency of occurrences. The number of rows about types of hazards were narrowed down to show the top 20 issues occurred in 2022. Using this data, we created a bar chart to show the order of hazards by the descending number of occurrences. We were able to find that the five most common hazards across the world are extreme heat, heavy rainfall, drought, urban flooding, and river flooding.
For chart two we used the Climate Related Disasters Frequency csv to find out which country had the most trouble due to climate change. Using information on this csv between 1980 and 2018, we could count the number of disasters each country has experienced since then. From there we created a chart that compared the overall disasters for the top ten most affected countries around the world. Surprisingly, we discovered that the United States has experienced the most climate related disasters since the 80s, with China and India trailing behind. This chart allowed us to gain a better perspective on the effects of climate change and climate related disasters around the world.